Announcing the Anaconda 2019.07 Release

The midyear release of Anaconda Distribution is available for download. The Anaconda 2019.07 release focuses on Conda performance. We’ve heard your frustration about lengthy install times for packages when using Conda, and the Conda 4.7 release aimed to address those concerns. The short version is that Conda install times have decreased by more than half […]

Why We Removed the “Free” Channel in Conda 4.7

One of the changes we made in Conda 4.7 was the removal of a software collection called “free” from the default channel configuration. The “free” channel is our collection of packages prior to the switch in recipes/compilers that we did for the Anaconda Distribution 5.0 release. The current primary channel, “main,” is also totally free […]

Conda 4.6 Release

The latest set of major Conda improvements are here, with version 4.6. This release has been stewing for a while and has the feature list to show for it. Let’s walk through some of the major ones. Activation script initialization Conda 4.4 introduced new scripts that make activation behavior uniform across operating systems. Where you […]

Anaconda Enterprise 5.3 Release

The Anaconda Product Team has released Anaconda Enterprise 5.3, an upgrade focused on platform stability and reliability to support our customers’ …

How We Made Conda Faster in 4.7

We’ve witnessed a lot of community grumbling about Conda’s speed, and we’ve experienced it ourselves. Thanks to a contract from NASA via the SBIR program, we’ve been able to dedicate a lot of time recently to optimizing Conda. We’d like to take this opportunity to discuss what we did, and what we think is left […]

Anaconda 2019.03 Release

Windows is the most popular operating system in the world and consistently has 75% or more of the worldwide desktop market. According to the JetBrains Python Developers Survey, 49% of Python developers use Windows as their desktop operating system. Previous Windows releases of Anaconda Distribution included a command shell specifically for running conda and Python […]